Xiaolan Ding

31 papers receiving 519 citations

Peers

Xiaolan Ding
Comparison fields: 5 of 87
  • Geochemistry and Petrology 89
  • Immunology 177
  • Dermatology 60
  • Electrochemistry 44
  • Cell Biology 62
Replace Tetsuo Murayama with:
Tetsuo Murayama Japan
Shoko Kobayashi Japan
Salem Salman Almujri Saudi Arabia
Qiubo Wang China
Ulrich Sydlik Germany
Gábor Nagy Hungary
Dorothy M. Latta United States
Joan E. Clark United States
Mario Pink Germany
Chengbin Xue China
Xiaolan Ding relative to Tetsuo Murayama Japan Tetsuo Murayama's profile →
Citations per field
00.5×10×15×17.7×
Tetsuo Murayama · 1×
Citations per year

Countries citing papers authored by Xiaolan Ding

Since Specialization
Citations

This map shows the geographic impact of Xiaolan Ding's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaolan Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Ding more than expected).

Fields of papers citing papers by Xiaolan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaolan Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaolan Ding. The network helps show where Xiaolan Ding may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaolan Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaolan Ding Line = papers co-authored together Xiaolan Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012175
2 201348
3 200346
4 200826
5 201021
6 200821
7 201721
8 200320
9 200919
10
Prevalence of Psoriasis in China:An Epidemiological Survey in Six Provinces
201016
11 200713
12 201913
13 200512
14 200611
15 200910
16 20068
17 20096
18 20206
19 20196
20 20215

About Xiaolan Ding

Xiaolan Ding is a scholar working on Electrical and Electronic Engineering, Electrochemistry, Cell Biology, Molecular Biology and Geochemistry and Petrology, having authored 31 papers that have together received 528 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (10 papers), Electrochemical Analysis and Applications (8 papers), melanin and skin pigmentation (7 papers), Geochemistry and Elemental Analysis (4 papers), Trace Elements in Health (3 papers), Analytical Chemistry and Sensors (3 papers), Analytical chemistry methods development (2 papers) and Skin Protection and Aging (2 papers). The work is most often cited by research in Geochemistry and Petrology (89 citations), Immunology (177 citations), Dermatology (60 citations), Electrochemistry (44 citations) and Cell Biology (62 citations). Xiaolan Ding has collaborated with scholars based in China, Czechia and Malaysia. Frequent co-authors include Xiaohua Huang, Tianhong Lu, Jianzhong Zhang, Cheng Zhou, Shaofen Guo, Shan Tian, Qing Liu, Yunhua Bai, Lihong V. Wang and Hang Li. Their work appears in journals such as Journal of Electroanalytical Chemistry, JBIC Journal of Biological Inorganic Chemistry, Clinical Cosmetic and Investigational Dermatology, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Biochimie.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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